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Neuroradiology|August 4, 2019
Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learningLorenzo Ugga, Renato Cuocolo, Domenico Solari, et al.Frontiers in Aging Neuroscience|September 3, 2021
Burning Fog: Cognitive Impairment in Burning Mouth SyndromeFederica Canfora, Elena Calabria, Renato Cuocolo, et al.Journal of the Neurological Sciences|March 4, 2026
Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived featuresAntonio Ianniello, Elena Barbuti, Maria Francesca Capobianco, et al.The Journal of Clinical Endocrinology and Metabolism|July 9, 2009
Growth hormone deficiency in patients with chronic heart failure and beneficial effects of its correctionAntonio Cittadini, Lavinia Saldamarco, Alberto Maria Marra, et al.Insights Into Imaging|June 27, 2025
Incidental findings in female pelvis MRI performed for gynaecological malignanciesSilvia Bottazzi, Roberta V Ninkova, Luca Russo, et al.Journal of Digital Imaging|April 22, 2020
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory StudyArnaldo Stanzione, Carlo Ricciardi, Renato Cuocolo, et al.Insights Into Imaging|October 23, 2024
The role of MRI in radiotherapy planning: a narrative review "from head to toe"Simona De Pietro, Giulia Di Martino, Mara Caroprese, et al.Acta Radiologica (Stockholm, Sweden : 1987)|February 4, 2020
Ultrasound, shear-wave elastography, and magnetic resonance imaging in native liver survivor patients with biliary atresia after Kasai portoenterostomy: correlation with medical outcome after treatmentMartina Caruso, Renato Cuocolo, Fabiola Di Dato, et al.European Radiology|December 24, 2025
CT and MRI radiomics in cardiovascular risk prediction: a systematic review and meta-analysis by the EuSoMII Radiomics Auditing GroupArmando Ugo Cavallo, Andrea Ponsiglione, Bernardo Pereira, et al.Anticancer Research|January 2, 2020
Prediction of Tumor Grade and Nodal Status in Oropharyngeal and Oral Cavity Squamous-cell Carcinoma Using a Radiomic ApproachValeria Romeo, Renato Cuocolo, Carlo Ricciardi, et al.Pageof 28